Rudrakshi Singh Rathore
Data Science & Machine Learning Enthusiast | Driving Insights, Building Solutions
Education & Academic Excellence
Vikrant Group Of Institutions, Indore
Bachelor of Technology in Computer Science (Aug 2021 – May 2025)
CGPA: 9.1/10
St Raphael's HS School, Indore
Higher Secondary Education (Science) (2019 – 2021)
CGPA: 7.9/10
Python & Machine Learning Internship
Top 10% Cohort Ranking
Completed intensive Python and machine learning training, ranking in the top 10% of the cohort at Verzeo (Online Bootcamp).
Mini-Project Delivery
Delivered 3+ mini-projects, including a grade predictor and regression/classification models, achieving over 85% accuracy.
Data Science & Analytics Internship
Sales Prediction Model
Developed a Sales Prediction Model, improving forecast accuracy by 18% for precise business planning.
Energy Consumption Model
Engineered an Energy Consumption Prediction Model, reducing forecasting error by 15%.
Power BI Dashboards
Designed and deployed interactive Power BI dashboards, adopted by 5+ business units for data-driven decisions.
Actionable Insights
Presented actionable insights to senior management, influencing quarterly planning strategies.
Job Salaries Dashboard Project
Created interactive Power BI and Tableau dashboards analysing 10,000+ job postings. This project uncovered salary trends by role, skill, and location for 2025, enabling leadership to optimise recruitment.
Resulted in a 20% improvement in hiring efficiency by identifying high-growth roles.
Rock Paper Scissors SXSW Project
Developed a real-time hand gesture recognition system using CNN, achieving 94% accuracy on test data. This system was deployed at SXSW, engaging over 200 users.
Optimised model inference time to under 100ms per frame for a seamless gameplay experience.
Online Shoppers Intention Prediction
Engineered and compared ML models (XGBoost, Random Forest, Logistic Regression) to predict purchase intent. Achieved 87% accuracy and 0.81 F1-score on the UCI dataset.
Implemented feature engineering and hyperparameter tuning, reducing prediction error by 12%.
Technical Skills
Languages
  • Python (Advanced)
  • SQL (Intermediate)
  • HTML/CSS (Intermediate)
Databases
  • MySQL
  • PostgreSQL
Machine Learning
  • Linear/Logistic Regression
  • Decision Trees, Random Forest
  • XGBoost, SVM, Naive Bayes
Deep Learning
  • ANN, CNN, RNN
Developer Tools
  • Git, Docker, VS Code
  • Tableau, Power BI
  • Google Cloud Platform
Libraries
  • Pandas, NumPy, TensorFlow
  • Scikit-learn, Keras, PyTorch
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